Downloads
Abstract
Backgrounds: Thyroid disease is very common, especially in women and the elderly. Thyroid ultrasound, as a first - line tool, is an imaging modality with outstanding capabilities such as being relatively simple, inexpensive, non - invasive, and repeatable for diagnosis of thyroid diseases, and can detect very small lesions. This study aims to determine the use of thyroid ultrasound with ACR-TIRADS 2017 classification in the diagnosis of thyroid nodules
Methods: A cross - sectional descriptive study was conducted in 169 patients undergoing thyroidectomy. All patients had been preoperatively performed thyroid ultrasound using a GE machine (LOGIQ S7 Pro, LOGIQ E9 ...) with a linear transducer frequency of 7.5 - 12 MHz. The ultrasound results using the 2017 ACR-TIRADS classification compared with pathological findings as the gold standard diagnostics.
Results: Thyroid ultrasound using the 2017 ACR-TIRADS classification could distinguish benign and malignant thyroid nodules with the sensitivity of 97.9%, specificity 82.6%, positive predictive value 95.8%, negative predictive value 90.5%, and accuracy of 94.9%. The area under the ROC curve (AUC) of the ACRTIRADS lassification in the diagnosis of malignant thyroid nodules was 0.953 (p < 0.001). The cut - off point was selected as TIRADS 4. The area under the ROC curve (AUC) of the ACR - classification score of the armor particles was 0.967 (p < 0.001). The cut - off point is selected as 5 points.
Conclusion: Thyroid ultrasound using the 2017 ACR-TIRADS classification is valuable in the differential diagnosis of benign and malignant thyroid nodules with high ensitivity and specificity
References
Bestepe N, Ozdemir D, Baser H, Ogmen B, Sungu N, Kilic M, et al. Is thyroid nodule volume predictive for malignancy? Arch Endocrinol
Metab. 2019. 63: 8.
Shin JH, Baek JH, Chung J, Ha EJ, Kim J-h, Lee YH, et al. Ultrasonography Diagnosis and Imaging - Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and ecommendations Korean J Radiol. 2016. 17: 26.
Brito JP, Gionfriddo MR, Nofal AA, Boehmer KR, Leppin AL, Reading C, et al. The Accuracy of Thyroid Nodule Ultrasound to Predict Thyroid Cancer: Systematic Review and Meta - Analysis. J Clin Endocrinol Metab. 2014. 99: 11.
Hegedüs L. The Thyroid Nodule. N Eng J Med. 2004. 351: 8.
Middleton WD, Teefey SA, Reading CC, Langer JE, Beland MD, Szabunio MM, et al. Multiinstitutional Analysis of Thyroid Nodule Risk Stratification Using the American College of Radiology Thyroid Imaging Reporting and Data System. AJR. 2017. 208: 15
Mohanty J, Sanket, Mishra P. Role of ACRTIRADS in risk stratification of thyroid nodules. Int J Res Med Sci. 2019. 7: 5.
Shen Y, Liu M, He J, Wu S, Chen M, Wan Y, et al. Comparison of Different Risk Stratification Systems for the Diagnosis of Benign and
Malignant Thyroid Nodules. Frontiers in Oncology 2019. 9: 8.
Skowrońska A, Milczarek - Banach J, Wiechno W, Chudziński W, Żach M, Mazurkiewicz M, et al. Accuracy of the European Thyroid Imaging Reporting and Data System (EU - TIRADS) in the valuation of thyroid nodule malignancy
in reference to the post - surgery histological results. Pol J Radiol. 2018. 83: 8.
Trúc BTT, Quyên HTĐ, Trang NTK, Anh NVQ, Hằng ĐTT, Hưng LLT. Đánh giá giá trị của việc áp dụng bảng phân loại TI - RADS theo ACR 2017 trong siêu âm tuyến giáp. Tạp chí Ung thư học Việt Nam. 2019. 5: 6.
Ahmadi S, Oyekunle T, Jiang XS, Scheri R, Perkins J, Stang M, et al. A Direct Comparison of the ATA and TI - RADS Ultrasound Scoring Systems. 2019. 25: 413-422.
| Published | 01-01-2025 | |
| Fulltext |
|
|
| Language |
|
|
| Issue | No. 76 (2022) | |
| Section | Original article | |
| DOI | 10.38103/jcmhch.76.1 | |
| Keywords | Siêu âm, nhân giáp, ACR-TIRADS 2017, lành tính, ác tính Ultrasound, thyroid nodules, ACR-TIRADS 2017, benign, malignan |
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2022 Journal of Clinical Medicine Hue Central Hospital